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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for First-Line Supervisors of Production and Operating Workers: 20 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
20 of 20 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
673,430 people hold this job — size, not growth
Projected 2025–35
61,000 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$45,100 – $90,390
Highest medians
Lowest medians
State figures come from the 51-1011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
8 tasks
8 tasks
4 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Enforce safety and sanitation regulations.
interpersonal — Enforcing rules requires human presence and authority
Keep records of employees' attendance and hours worked.
data analysis — Record production data into structured logs
Inspect materials, products, or equipment to detect defects or malfunctions.
visual inspection — Physical inspection of production machinery in situ
Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs.
visual inspection — Blueprint setup reading partial, human confirms
Plan and establish work schedules, assignments, and production sequences to meet production goals.
decision support — Sequence planning aided; production constraints human-verified
Confer with other supervisors to coordinate operations and activities within or between departments.
interpersonal — Colleague information exchange is relational, contextual
Interpret specifications, blueprints, job orders, and company policies and procedures for workers.
interpersonal — Equipment instruction requires live demonstration and correction
Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards.
visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human
Direct and coordinate the activities of employees engaged in the production or processing of goods, such as inspectors, machine setters, or fabricators.
interpersonal — Directing production operations is human supervisory authority
Conduct employee training in equipment operations or work and safety procedures, or assign employee training to experienced workers.
interpersonal — Equipment instruction requires live demonstration and correction
Evaluate employee performance.
decision support — Performance review aided; accountability and context human
Confer with management or subordinates to resolve worker problems, complaints, or grievances.
decision support — Diagnosis support good; physical resolution needs humans
Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.
decision support — Sequence planning aided; production constraints human-verified
Calculate labor and equipment requirements and production specifications, using standard formulas.
data analysis — Production requirement calc; human validates inputs
Recommend or implement measures to motivate employees and to improve production methods, equipment performance, product quality, or efficiency.
decision support — Generates improvement options; human tailors and owns
Maintain operations data, such as time, production, and cost records, and prepare management reports of production results.
data analysis — Record production data into structured logs
Requisition materials, supplies, equipment parts, or repair services.
decision support — Ordering via systems automatable; human approves spend
Set up and adjust machines and equipment.
physical manipulation — Hands-on equipment adjustment for performance
Recommend or execute personnel actions, such as hirings, evaluations, or promotions.
decision support — Broad HR work needs human judgment and accountability
Plan and develop new products and production processes.
decision support — Sequence planning aided; production constraints human-verified
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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